Zhengzuo Li, Zhiying Tu, Bo Liu, Dianhui Chu, Chunshan Li
{"title":"Multi-view Scenario-based Service Resource Description Modeling and Application Method","authors":"Zhengzuo Li, Zhiying Tu, Bo Liu, Dianhui Chu, Chunshan Li","doi":"10.1109/services51467.2021.00043","DOIUrl":"https://doi.org/10.1109/services51467.2021.00043","url":null,"abstract":"In recent years, soft service robot(e-SBOT) that can exist in any intelligent terminal have received widespread attention. However, currently the services provided by e-SBOT are extremely limited. This defect mostly dues to two problems, one is that the inaccuracy of capturing user’s need caused by incomplete understanding, the other is that the richness, diversity and complexity of service resources make it difficult to select appropriate resources. The existing service resource library is mainly based on the digital world and lacks a unified description and management of service resources both in digital and physical world. In addition, it is mostly useless to recommend service resources that do not match the user’s current scenario, resulting in a worse experience. Therefore, it’s essential to describe the service resources in combination with the scene and provide the service resources that adapted to the scenario to users in a more accurate and rapid way. To achieve this, we propose a scenario-based service resource description model based on ontology modeling. A multi-view retrieval method is simultaneously developed for rapid retrieval of service resources. Experimental results show that our proposed model and method can improve the retrieval speed and accurately return service resources suitable for user scenarios.","PeriodicalId":210534,"journal":{"name":"2021 IEEE World Congress on Services (SERVICES)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114998423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Microservices Monitoring with Event Logs and Black Box Execution Tracing","authors":"M. Cinque, Raffaele Della Corte, A. Pecchia","doi":"10.1109/services51467.2021.00023","DOIUrl":"https://doi.org/10.1109/services51467.2021.00023","url":null,"abstract":"Monitoring is a core practice in any software system, and entails gathering a variety of data sources that pertain the execution of a given system. Trends in microservices systems exacerbate the role of monitoring. Microservices put forth reduced size, independency, flexibility and modularity principles, which well cope with ever-changing business environments. However, as real-world applications are decomposed, they can easily reach hundreds of microservices. This inherent complexity determines an increasing difficulty in debugging, monitoring and forensics, and poses novel challenges to monitoring data sources, such as event logs.","PeriodicalId":210534,"journal":{"name":"2021 IEEE World Congress on Services (SERVICES)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115277987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Identification of product service common and individual demands based on online reviews","authors":"Lin Huang, Liya Wang, X. Ming","doi":"10.1109/services51467.2021.00041","DOIUrl":"https://doi.org/10.1109/services51467.2021.00041","url":null,"abstract":"Online reviews, as the main way of information sharing after purchase, are latent with a large number of customer demands. A systematic method for identifying customers’ common and individual demands of products service based on online reviews is proposed in this paper. Firstly, based on LDA topic model, this method conducts topic mining on the collected review document corpus to filter out keywords and reviews which are related to product service. Then, based on the influence characteristics of reviews, a modified-Louvain algorithm is proposed to divide the word co-occurrence relationship network of product service keywords into communities. Finally, according to the result of community division, customers’ common demands and individual demands of products service can be identified and derived. This demand identification result can provide a more detailed, effective, targeted and predictive information support for product service modularization, so that can facilitate the design, configuration and optimization of the subsequent product service solutions.","PeriodicalId":210534,"journal":{"name":"2021 IEEE World Congress on Services (SERVICES)","volume":"336 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122743005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"J1C2 Chairs Message","authors":"","doi":"10.1109/services51467.2021.00008","DOIUrl":"https://doi.org/10.1109/services51467.2021.00008","url":null,"abstract":"","PeriodicalId":210534,"journal":{"name":"2021 IEEE World Congress on Services (SERVICES)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124670366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zhiyong Wu, Ke Meng, Xiukun Yan, Dayin Shi, Benjia Hu
{"title":"Abstraction Refinement Approach for Web Service Selection using Skyline Computations","authors":"Zhiyong Wu, Ke Meng, Xiukun Yan, Dayin Shi, Benjia Hu","doi":"10.1109/services51467.2021.00038","DOIUrl":"https://doi.org/10.1109/services51467.2021.00038","url":null,"abstract":"In this paper, we address the problem of time and space overload in large-scale web service selection. According to user needs, determine a workflow specifying a set of ordered tasks, and each task has a varying number of candidate services providing the basic functions to complete the task and some other subsidiary functions, The goal of service selection is to select the most eligible service for each task. However, with the development and popularization of the Internet, the number of Web services has shown exponential growth. Choosing among a large number of Web services has once again become a research hotspot. In this work, we use Skyline technology to initially filter many candidate services, and then use abstraction refinement technology to complete services selection. Experiments show that compared with the original method, our approach can show significant performance advantages in terms of time.","PeriodicalId":210534,"journal":{"name":"2021 IEEE World Congress on Services (SERVICES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128398509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Maanak Gupta, James O. Benson, Farhan Patwa, R. Sandhu
{"title":"Secure V2V and V2I Communication in Intelligent Transportation using Cloudlets","authors":"Maanak Gupta, James O. Benson, Farhan Patwa, R. Sandhu","doi":"10.1109/services51467.2021.00024","DOIUrl":"https://doi.org/10.1109/services51467.2021.00024","url":null,"abstract":"Intelligent Transportation System (ITS) is a vision which offers safe, secure and smart travel experience to drivers. This futuristic plan aims to enable vehicles, roadside transportation infrastructures, pedestrian smart-phones and other devices to communicate with one another to provide safety and convenience services. Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I) communication in ITS offers ability to exchange speed, heading angle, position and other environment related conditions amongst vehicles and with surrounding smart infrastructures. V2V will enable vehicles to exchange information about speed, location, direction, or brake status with other surrounding vehicles where receiving vehicles will aggregate these messages and make decisions. These on-board applications will warn drivers about accidents, over-speed, slow traffic ahead, aggressive driver, blind spot or a road hazard. V2I will enable road side units (RSUs) or traffic infrastructures to transmit information about bridge permissible height, merging traffic, work zone warning or road hazard detection to complement V2V applications.","PeriodicalId":210534,"journal":{"name":"2021 IEEE World Congress on Services (SERVICES)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121553929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Message from the IWIOS Workshop Chairs","authors":"","doi":"10.1109/services51467.2021.00010","DOIUrl":"https://doi.org/10.1109/services51467.2021.00010","url":null,"abstract":"","PeriodicalId":210534,"journal":{"name":"2021 IEEE World Congress on Services (SERVICES)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131269389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Blockchain-based Infrastructure for Distributed Internet of Services","authors":"Yuxin Wang, Zhiying Tu, Yunwen Bai, Haochen Yuan, Xiaofei Xu, Zhongjie Wang","doi":"10.1109/services51467.2021.00045","DOIUrl":"https://doi.org/10.1109/services51467.2021.00045","url":null,"abstract":"The distributed services from different domains, organizations, and regions in the real and virtual world are converged together to form the Internet of Services (IoS). It is required to provide a trusted, orderly and efficient platform environment for service collaboration and delivery. Blockchain is currently recognized as the best practice technique to solve the problem of orderly and trusted execution of system. However, the efficiency issue introduced by it is also a problem that every platform needs to take seriously. Therefore, this paper proposes a blockchain-based IoS architecture, which uses the virtual chain and the embedded EVM(Ethereum Virtual Machine) notary technology to ensure the security and credibility of the service collaboration process in the IoS, and also the efficient operation of the entire system. This architecture has been compared with non-blockchain architecture without credible guarantees and also blockchain-only architecture. This comparative experiment shows that the proposed architecture not only ensures the orderly and trusted execution of the system, but also effectively controls the loss of performance.","PeriodicalId":210534,"journal":{"name":"2021 IEEE World Congress on Services (SERVICES)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129598997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Data-driven Exploratory Service Composition Tool for Data Scientists","authors":"Gaojian Chen, Jing Wang, Qianwen Li, Yunjing Yuan","doi":"10.1109/services51467.2021.00047","DOIUrl":"https://doi.org/10.1109/services51467.2021.00047","url":null,"abstract":"In the era of big data, data scientists gain insights from data and make decisions. However, when constructing a data analysis pipeline, data scientists are often required to be proficient in multiple algorithm models and theoretical foundations, and they have to select and combine multiple algorithm models, and repeatedly adjust algorithms and parameters to construct a high-performance data analysis pipeline. In response to the above problems, this paper proposes an exploratory service composition tool, which can perform real-time service recommendations according to users’ needs and data features, and assists users in constructing data analysis pipelines in an exploratory manner. This method can reduce the difficulty of data analysis, effectively save labor costs, and improve the quality and efficiency of data analysis.","PeriodicalId":210534,"journal":{"name":"2021 IEEE World Congress on Services (SERVICES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133200090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Hybrid Cloud Resource Scheduling With Multi-dimensional Configuration Requirements","authors":"Zhaokun Qiu, Long Chen, Xiaoping Li","doi":"10.1109/services51467.2021.00049","DOIUrl":"https://doi.org/10.1109/services51467.2021.00049","url":null,"abstract":"Task scheduling with multi-dimensional configuration requirements is widely used in cloud platforms such as OpenStack and Kubernetes. In this paper, we consider the problem of scheduling tasks with multi-dimensional configuration to hybrid resources. An energy-aware scheduling algorithm on tasks with multi-dimensional configuration requirements (ESMCR in short) is presented. ESMCR is combined with a decomposition-based multi-objective evolutionary algorithm to minimize energy consumption and provide sufficient capacity for the data center. An entropy-based performance index is modeled to measure the QoS. The experimental results indicate that the proposed algorithms outperform the compared algorithms significantly.","PeriodicalId":210534,"journal":{"name":"2021 IEEE World Congress on Services (SERVICES)","volume":"583 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117112715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}